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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases

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A learning-based approach for performing an in-depth literature search using MEDLINE.

S Young¹, S B Duffull

¹School of Pharmacy, University of Otago, Dunedin, New Zealand.

Journal of Clinical Pharmacy and Therapeutics

|July 7, 2011

Summary

A new learning algorithm significantly improved literature searching for evidence-based practice by retrieving more relevant articles from MEDLINE. This automated approach enhances the efficiency and accuracy of identifying key research for clinical guidelines.

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Area of Science:

Medical Informatics
Information Retrieval
Evidence-Based Practice

Background:

Exhaustive literature searching is crucial for evidence-based practice guidelines.
Current methods often rely on manual identification of Medical Subject Headings (MeSH) in databases like MEDLINE, which can be time-consuming and error-prone.

Purpose of the Study:

To develop and evaluate a novel learning algorithm designed to automate and optimize the process of conducting thorough literature searches.
To compare the effectiveness of this algorithm against traditional static keyword searches.

Main Methods:

A learning algorithm was created to generate and utilize combinations of MeSH terms for searching.
The algorithm was applied to the MEDLINE database (1950-2008) to identify studies on pharmaceutical care in HIV-infected patients.
Results were compared to a static search conducted by an independent user.

Main Results:

The learning algorithm retrieved 1670 articles, identifying six relevant studies.
The static search yielded 49 articles, with only three being relevant.
All relevant articles found via the static search were also identified by the learning algorithm.

Conclusions:

Automated, learning-based tools can enhance the efficiency and comprehensiveness of literature searches.
The developed algorithm presents a promising approach to streamline the identification of evidence for clinical practice.
This method addresses the challenges associated with manual literature searching.